The year 2020 has been extremely difficult for people, companies and governments around the world. As COVID-19 spread, requiring far-reaching health and safety restrictions, applications of artificial intelligence (AI) have played a crucial role in saving lives and building economic resilience. R&D continued unabated to develop core AI capabilities, from autonomous driving and natural language processing to quantum computing. At the same time, automation and cloud computing have become more important to companies that rely more and more on remote workers.
Although companies have some predictions about how the next year will go with the experience they have gained this year, real success lies in determining where to focus their attention. Enterprise artificial intelligence and machine learning plans to be considered in 2021 will be a guide for C-level managers.
Scaling artificial intelligence
According to a study, only about 10 percent of organizations use artificial intelligence. The research envisions widening the gap between AI owners and non-AI owners, as smaller companies are shown to be less likely to use AI in their business operations. Companies investing in artificial intelligence will continue to seek ways to get a return from this investment next year.
Role expansion for AI / ML integration
To truly scale AI and machine learning across an organization, expertise must go beyond the IT department. Roles such as AI manager, content services manager, and data broker will begin to emerge in AI-lead organizations. Successful investment in AI in 2020 will also represent investment in recruiting, retention and skill upgrades. Investing in existing staff will be a way of both eliminating the skilled staff shortage and ensuring diversity and inclusiveness in the organization.
Artificial intelligence and edge computing
As more computing is done on devices, edge computing is becoming more and more valuable. Edge computing services that support artificial intelligence and machine learning are expected to become widespread in 2021, as more people are working remotely than ever before.
Artificial intelligence as a service (AIaaS)
As companies seek to grow and find business value with AI, the expansion of software-as-a-service to AI makes a lot of sense. AIaaS also allows organizations to experiment with AI with less risk and investment. This capability is particularly valuable for smaller organizations or industries where AI is less established. AIaaS is also predicted to continue to grow in 2021 with major tech players.
Organizations, on the other hand, are now taking a serious approach to IT operations (AIOps) and how AI network assistants can help IT teams focus on more strategic issues and improve the experience of their customers and employees. So what will come to the fore in the relationship between AIOps and artificial intelligence in 2021?
Customer support will improve: Cloud and AI are changing how organizations support their customers and employees, and how network providers support their corporate customers. IT departments are now ending their arguments with network vendors about whether something is a hardware or software issue. At this point, AI will help proactively identify potential connectivity issues, communicate root causes, and provide IT teams with the tools and recommendations needed to resolve the issue before it begins to affect customers.
New offices will be powered by AI: With the home becoming the new enterprise microbranch for a growing remote workforce, AIOps will provide IT with the end-to-end visibility needed to support workers in the new post-Covid-19 norm. This visibility will be crucial to helping IT teams efficiently support remote workers and provide the data needed to prevent similar issues from arising in the future.
AI assistants in the IT team of the future: Personal home and mobile AI assistants are growing in popularity. The same will be true for organizations. AI assistants will become smarter and be a critical part of the IT team. These smart assistants will become more helpful through learning and direct feedback from IT team members and will be able to gradually solve increasingly complex problems. This will reduce mundane tasks and workloads for IT teams, allowing AI assistants to shine as a team player.
The biggest obstacle to AI adoption will be education: It will be up to business leaders to educate employees on artificial intelligence. IT teams will need to be encouraged to spend time and energy in order to comprehensively evaluate the AI ​​solutions that will best fit the company's bottom line. The best businesses will invest in training their IT lead teams so they can best understand how to implement these AI solutions across the network.
AI will play a big role in the future of networking: With the realization of current communication technologies that bring people together with video, the pressure on infrastructure to meet demand has also increased. This will be where IT shines as the backbone of a business and the most valuable partner in AI. Artificial intelligence will become crucial in powering a self-managed network.
Whether companies make remote work permanent or choose to go back to the office, the old way of working has changed forever. Companies that adopt artificial intelligence technologies are positioned to be perfect in 2021 and beyond. At all levels of organizations, it is inevitable that AI will take us into the next working age.
Exactly, AI was working well, covid19 made many things go faster.